code: def _random_bbox(self):
      c, h, w = self.img_shape
      xs = torch.randint(w - 1, (2,))
      ys = torch.randint(h - 1, (2,))
      return {
          "xmin": min(xs),
          "ymin": min(ys),
          "width": max(xs) - min(xs) + 1,
          "height": max(ys) - min(ys) + 1,
      }
  
imports: import random
  from typing import Any
  from unittest.mock import patch
  import numpy
  import pytest
  import torch
  from flash.core.data.io.input import DataKeys
  from flash.core.integrations.icevision.transforms import IceVisionInputTransform
  from flash.core.trainer import Trainer
  from flash.core.utilities.imports import _EFFDET_AVAILABLE, _ICEVISION_AVAILABLE, _TOPIC_IMAGE_AVAILABLE, _TOPIC_SERVE_AVAILABLE
  from flash.image import ObjectDetector
  from torch.utils.data import Dataset
  from tests.helpers.task_tester import TaskTester
label_desc: Use image node_id 3 for calling the DummyDetectionDataset obj's underlying member method code with example usage: obj._random_bbox() and returns: dict